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Eionet
Data Dictionary
Edit vocabulary

Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

4,043 concepts found, displaying 721 to 740.First3334353637383940Last
Id Label Status Status Modified Notation
DE50 Bremen Quick edit Valid 2013-09-25 DE50
DE501 Bremen, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE501
DE502 Bremerhaven, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE502
DE6 Hamburg Quick edit Valid 2013-09-25 DE6
DE60 Hamburg Quick edit Valid 2013-09-25 DE60
DE600 Hamburg Quick edit Valid 2013-09-25 DE600
DE7 Hessen Quick edit Valid 2013-09-25 DE7
DE71 Darmstadt Quick edit Valid 2013-09-25 DE71
DE711 Darmstadt, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE711
DE712 Frankfurt am Main, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE712
DE713 Offenbach am Main, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE713
DE714 Wiesbaden, Kreisfreie Stadt Quick edit Valid 2013-09-25 DE714
DE715 Bergstraße Quick edit Valid 2013-09-25 DE715
DE716 Darmstadt-Dieburg Quick edit Valid 2013-09-25 DE716
DE717 Groß-Gerau Quick edit Valid 2013-09-25 DE717
DE718 Hochtaunuskreis Quick edit Valid 2013-09-25 DE718
DE719 Main-Kinzig-Kreis Quick edit Valid 2013-09-25 DE719
DE71A Main-Taunus-Kreis Quick edit Valid 2013-09-25 DE71A
DE71B Odenwaldkreis Quick edit Valid 2013-09-25 DE71B
DE71C Offenbach, Landkreis Quick edit Valid 2013-09-25 DE71C
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?